Question 32

Correct answer: C

A. Inclusiveness in AI refers to ensuring that AI systems are accessible and beneficial to all individuals, regardless of their background or characteristics. Providing clear explanations of how the banking AI system operates and the factors it considers when approving mortgage applications does not directly relate to inclusiveness, but rather to transparency in this context.

B. Fairness in AI involves ensuring that AI systems do not discriminate against individuals or groups based on factors such as race, gender, or socioeconomic status. While providing clear explanations of the banking AI system's operations and factors considered in mortgage approvals is important for fairness, the specific action described in the question aligns more closely with transparency.

C. Transparency in AI refers to the practice of providing clear and understandable explanations of how AI systems make decisions and the factors they consider. By providing clear explanations of how the banking AI system operates and the factors it considers when approving mortgage applications, the company demonstrates a commitment to transparency in its AI practices.

D. Accountability in AI involves holding individuals and organizations responsible for the outcomes and decisions made by AI systems. While accountability is an important ethical principle in AI, the specific action described in the question, providing clear explanations of the AI system's operations and decision-making process, is more closely related to transparency.